[HTML][HTML] A systematic review and research perspective on recommender systems
Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …
widespread owing to the changing habits of computer users, personalization trends, and …
A survey on session-based recommender systems
Recommender systems (RSs) have been playing an increasingly important role for informed
consumption, services, and decision-making in the overloaded information era and digitized …
consumption, services, and decision-making in the overloaded information era and digitized …
[HTML][HTML] Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns
regarding explainability. Recent studies have discussed the emerging demand for …
regarding explainability. Recent studies have discussed the emerging demand for …
Recommender systems survey
Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …
on demographic, content-based and collaborative filtering. Currently, these systems are …
Recommendation system development for fashion retail e-commerce
This study presents a real-world collaborative filtering recommendation system implemented
in a large Korean fashion company that sells fashion products through both online and …
in a large Korean fashion company that sells fashion products through both online and …
A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining
In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …
learners. However, due to information overload, many learners are experiencing difficulties …
User experience in personalized online shopping: a fuzzy-set analysis
IO Pappas - European Journal of Marketing, 2018 - emerald.com
Purpose In the complex environments of online personalization, multiple factors have been
considered to explain consumers' online behaviour, but largely without considering the role …
considered to explain consumers' online behaviour, but largely without considering the role …
A hybrid approach using collaborative filtering and content based filtering for recommender system
In today's digital world, it has become an irksome task to find the content of one's liking in an
endless variety of content that are being consumed like books, videos, articles, movies, etc …
endless variety of content that are being consumed like books, videos, articles, movies, etc …
[HTML][HTML] Deep learning based semantic personalized recommendation system
The past decade has seen significant development in the number of personalized
recommendation applications on the World Wide Web. It aims to assist users to retrieve …
recommendation applications on the World Wide Web. It aims to assist users to retrieve …
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data
The recommender systems are recently becoming more significant in the age of rapid
development of the Internet technology due to their ability in making a decision to users on …
development of the Internet technology due to their ability in making a decision to users on …